Industrial Design, Sculptor.

Joined January 2009
226 Photos and videos
Pinned Tweet
29 Jan 2024
Textured Apple Pencil Grip #Procreate #ApplePencil
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A 22-year-old graduate student in Kazakhstan got so angry at journal paywalls in 2011 that she built a pirate website holding 88 million scientific papers, and last month she turned the whole thing into an AI that lets you ask one question and get the actual research as the answer. Her name is Alexandra Elbakyan, and the website is called Sci-Hub. The AI she just launched is called Sci-Bot. It lives at sci-bot.ru and almost nobody outside academia knows it exists yet. Here is the story, because it is one of the strangest things to happen in science publishing in the last 50 years. Elbakyan was born in Almaty in 1988, the year the Soviet Union started to collapse. She taught herself programming at 12. She read Soviet science books that explained things her family used to call miracles. She got into computer security at university and graduated in 2009 with a degree she barely needed because by then she was already a serious hacker. Alexandra moved to Moscow that fall. Then Germany. Then a research internship in the United States. She was working on brain-computer interfaces, the kind of research that requires you to read hundreds of papers a year just to keep up with the field. And every single one of those papers was locked behind a journal paywall that cost between 30 and 50 dollars to read once. She did the math. A graduate student in Kazakhstan could not afford to read science. The first thing she did was learn how to get around the paywalls one paper at a time. She passed the trick around to other students. They asked her for papers constantly. She got tired of doing it manually. So in September 2011, in three days, she wrote a script that automated the whole thing. A user pastes a DOI. The script logs in through a donated institutional credential. The paper comes back free. The website caches it. The next person who asks for that paper gets it instantly because the previous request already saved a copy. That was Sci-Hub. Three days of code. One graduate student. Done. 15 years later, the cache holds 88 million scientific papers. Almost every piece of scholarly literature published before 2020 is sitting on her servers. Researchers in 190 countries use it. Studies in Nature have shown that roughly half of all academic paper downloads worldwide now go through Sci-Hub, not the publishers who actually own the copyrights. Elsevier sued her in 2015 and won a 15 million dollar judgment. She did not pay. The American Chemical Society sued her and won an injunction. She did not comply. Courts in India, France, Russia, and the UK have tried to block the domain. She just moves it. Sci-hub.se. Sci-hub.ru. Sci-hub.ee. The site has had over 20 domains and is still up. Nature put her on its list of the 10 people who mattered most to science in 2016. The New York Times compared her to Edward Snowden. The Verge called her the pirate queen of science. She has not been to the United States in over a decade because she would be arrested at the airport. The Sci-Bot launch in April 2026 is the part that nobody is talking about. She took the 88 million paper database and put a small language model on top of it. You ask a question in plain English. The model searches the entire shadow library, pulls the relevant papers, synthesizes an answer grounded in real citations, and links you to the full text of every source. Free. No login. No institutional credential. No paywall. Three real scientists tested it for a Chemical and Engineering News article last month. They asked it medical and chemistry questions. The radiologist said the answer he got was usable. The chemist said the gaps in recent literature were obvious but the older science was solid. The publisher community is furious. What she built is what the paid academic AI tools are trying to build. Except the paid ones are limited to what their parent publisher legally owns. Hers is limited to almost nothing. Alexandra still lives somewhere in Russia. She does not give her address. She does not do video interviews. She gives talks over Skype with the camera off. She runs the largest illegal library in human history from a laptop and a donation page. A graduate student who could not afford to read science built the system the entire scientific community now quietly depends on. The publishers have spent a decade trying to shut her down. She just shipped an AI that makes their entire business model outdated.
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Just putting this out there.
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A drone that jumps into flight, like a bird! 🐦‍⬛ Researchers at EPFL built RAVEN, a bird-inspired drone that can walk, hop, and jump to take off, without a runway, launcher, or human help. Instead of treating legs as dead weight, the team designed lightweight avian legs that actively contribute to locomotion and flight. The drone uses spring-motor legs inspired by crows and ravens, allowing it to traverse rough terrain, jump onto elevated surfaces, and launch itself efficiently into the air. Energy is stored and released by its flexible toes and tendon-like springs on its legs. The drone can walk a meter in four seconds, jump 26 cm, and hop over 12 cm gaps thanks to its 1-meter wingspan. Compared to static launches, takeoffs with their legs propel them to nearly 50 cm in height at a forward speed of 2.2 m/s, making them 10 times more energy-efficient. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → ziegler.substack.com
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A young girl practicing wushu at the bus stop while waiting. Sometimes, you need less than you think to stay active...👏
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Ever tried 3D scanning a printed circuit board (PCB)? Capturing tiny solder joints, dense routing, and reflective surfaces is no easy task. In this demo, the AutoScan Inspec 2 takes on a highly complex electronic component to show what high-accuracy 3D metrology can achieve. Watch how it captures fine micro-details and converts them into a precise 3D model ready for reverse engineering, inspection, and quality control workflows. ---- From automotive body panels to aerospace components, precision inspection is becoming a critical part of modern manufacturing. This new whitepaper explores how high-accuracy 3D metrology is helping engineers capture full-field data, reduce inspection bottlenecks, and improve quality assurance workflows with micron-level precision. Get the whitepaper here: wevlv.co/4u1ZALt #3dscanning #engineering #technology @Shining3D
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Starting to believe that Apple is better positioned for AI than nearly any other company, except Nvidia. My old favorite is becoming my new favorite. Congrats to John T.!
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Someone tap dancing to Megadeath was not on my bingo card today. Oddly enough this is really enjoyable 😂

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Lola is one of the most gnarly AI artists out there. She mainly post bangers on IG and YT. But this one hatched right here. Make sure you follow her if you can handle it. Epic work @lola_viscera 🧪🦠

look at this little guy. i designed this creature years ago. picked this scene on purpose — the hatching, the sac, the wet emergence, the fur — because i knew how badly it would have broken, every time, in every version of this tech up to now. limbs through membranes. bodies folding into themselves. things growing out of nothing. fur turning into soup. physics giving up at the moment of rupture. this one didn't. the sac deforms under pressure. the fluid behaves like fluid. the rupture is actually there, the moment where enclosed becomes emerged, and the membrane remembers what it was holding. the fur stays fur, even wet — matted, heavy, clinging the way real fur does. he has weight when he lands. i let the model contribute. the little mouth at the end wasn't in my prompt. a happy accident that wanted to stay.
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$EOSE JNTG(Graphite felt supplier)[Audit Report (2025)] thejntg.com/ko/content/discl… 1. North America revenue — explosive growth ( 260% YoY) 2024: ₩15B  →  2025: ₩53.9B  (3.6× increase in one year) 2. Aggressive capex — production line expansion Machinery: ₩6.45B  /  Total tangible assets acquired: ₩10.65B 3. Heavy concentration in a single large customer Customer A (est. EOS Energy) revenue: ₩52.2BAccounts for 72% of total revenue (₩72.4B) 4. Inventory build-up to meet rising demand ₩5.9B  →  ₩10.8B  ( 82% increase)
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The fraud in California and throughout the USA if it was stopped than Americans wouldn’t have to pay income tax. That’s how big this fraud is. Politicians from the local government all the way up to the USA Senate have been stealing from taxpayers. If this was the 1700s we would have burned the government down by now. It’s corrupt, criminal, treasonous and disgraceful.
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Kid on the plane was obsessed w my suitcase, said it looked like a robot, wanted to hear all about it. His mom said he loves building things, hopefully a future designer. That plane was full of joy
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おはようございます
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You've designed rockets. You've designed cars. It's time to design a home unlike any before. I'm hiring the best mechanical engineers in the country to build homes for millions of Americans. Join me.
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My 12-year-old daughter doesn’t have many friends and was bullied so badly last year she spent lunches hiding in the bathroom. Lately, she’s been taking my yarn and secretly crocheting in her room. Last night, she proudly showed me a stunning scarf she made herself. “I want my own Tedooo shop someday—for kids like me,” she said. Now she wakes at dawn to practice stitches “for my customers.” She’s turning loneliness into art—please leave her some encouragement.
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Mac Mini eGPU. Both NVIDIA and AMD supported.
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hard to believe that adobe CC interfers with AutoDesk Alias so effectively.
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The 2026 Ford Mustang, combined with muscle car styling Do you like it? 🤔
Community note
This video shows an AI-generated or fan-made concept inspired by classic Mustangs, not the official 2026 Ford Mustang. The actual 2026 model features a modern design. ford.com/cars/mustang/ caranddriver.com/photos/g649951… motortrend.com/news/2026-ford…
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This is moving quickly 🚀 $EOSE … stunning growth, clear TAM
$EOSE — resurfacing this because I feel it didn’t get the attention it warranted. Eos probably added ~$7 BILLION to its pipeline, from data-center projects ALONE since Q3. Let me repeat, SEVEN BILLION, in one single quarter. From Joe’s Jan 14 interview: data-center deals grew to ~40% of the pipeline (vs. 22% on Sept 30). ~27GWh of additions tied to data centers at least. $EOSE Q3 pipeline: 91GWh ($22.6B) • 20GWh data centers → 22% • 68GWh LDES → 64% If all else equal (conservative — I expect net inflows), $EOSE added ~27GWh of data-center projects, 47GWh total, in order for it to become 40% of the pipeline. 30% growth QoQ just on data-center additions — the fastest, most urgent, time-to-power demand in the ecosystem. At their ASP of $250/kwh, this is a $6.75 Billion increase in their data-center pipeline alone. If true, it's simply huge, expect additional eyeballs. And I expect Eos to have grown its non-data-center business as well (as we've seen from their ~3.4GWh in total NYC projects for the upcoming RFP, just to name an example). Use $FLNC as a reference: Fluence saw ~30% QoQ, $6.7 billion pipeline growth. Remarkable! • 36GWh data center projects • 34GWh LDES These are not normal numbers: ~30% QoQ growth and multi-billion pipeline expansion. That’s what a demand tsunami looks like — and not enough people are aware of it. Data Center demand and LDES. These are the exact pillars Fluence is highlighting. Expect Eos to lean into the same and show ≥1.3× Fluence’s DC exposure and ≥2× its LDES, at least. Remember, Cerberus’ thesis is for $EOSE to become the First Solar ( $FSLR) of BESS. That is not winning ~3% of the market share. Its dominating. It's having structural cost advantages, localized manufacturing, and the ability to execute at scale. Recommend watching Joe with Maria on FOX: eose.com/eos-featured-on-fox…
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